Senior Software Engineer

• Develop, deploy, and maintain software solutions that integrate AI/ML functionality
• Build robust, high-quality Python applications used within engineering workflows
• Contribute to the design and implementation of data pipelines and data storage solutions
• Support troubleshooting, optimisation, and ongoing maintenance of AI-enabled systems
• Prototype and implement applied ML functions (e.g., classification, prediction, feature extraction) where needed
• Integrate models developed by global AI/ML teams into production-ready engineering tools
• Perform data preparation, analysis, and exploratory investigations to support engineering needs
• Provide guidance to junior engineers and apprentices at the Gloucester site
• Uphold technical standards, coding best practices, and documentation quality
• Influence design decisions and ensure reliability across software initiatives
• Work closely with AI/ML experts in Toronto and Paris, facilitating knowledge transfer and technical alignment
• Collaborate across business and IT to meet engineering objectives
• Identify and champion improvements in tooling, processes, coding practices, and methodologies
• Stay aware of emerging software engineering and AI technologies

Technologies:

• AI
• AWS
• CI/CD
• Cloud
• ETL
• Support
• Python, We are offering an excellent opportunity for a hands-on Senior Software Engineer with strong Python skills and applied AI/ML experience to support the development and deployment of intelligent engineering solutions in a world-class aerospace and industrial environment. Our team is dedicated to improving engineering efficiency, automation, and digital capability through close collaboration with global AI teams in Canada and France. This role provides a fantastic opportunity to work on practical engineering challenges and contribute to the deployment of modern AI practices. Our hybrid working model requires three days onsite per week in Gloucester, offering an environment that fosters career growth and technical excellence.

• Strong Python development experience
• Solid software engineering fundamentals: version control, testing, deployment, CI/CD and lifecycle management, troubleshooting and optimisation
• Experience working with databases, storage systems, and basic ETL workflows
• Experience with AWS or another cloud environment (advantageous)
• Familiarity with ML frameworks or libraries (preferred but not essential)
• 2-5 years in a commercial software engineering role preferred
• Experience working in an engineering, industrial, or aerospace environment is a bonus
• Able to take a leading role in delivering technical projects
• Strong communication and stakeholder engagement skills
• Collaborative, autonomous, and proactive mindset